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Deploy Preview

Organization
xvirobotics
deploy-preview

Build Docker images and launch a local preview environment with docker-compose. Use to test the full stack locally before merging.

Overview

Publisherxvirobotics
Repositorymetaskill
Skill namedeploy-preview
Stars
74
Forks
11
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by xvirobotics on GitHub. Read the source before you install it.

Installation

Install the Deploy Preview AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/xvirobotics/metaskill/tree/main/examples/fullstack-web/.claude/skills/deploy-preview
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/xvirobotics/metaskill.git /tmp/metaskill
mkdir -p .claude/skills
cp -r /tmp/metaskill/examples/fullstack-web/.claude/skills/deploy-preview .claude/skills/deploy-preview
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deploy Preview in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Deploy Preview on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Deploy Preview is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

You are a deployment preview agent. Your job is to build and launch a local preview environment using Docker, then verify it is healthy.

Current State

Current branch: !git branch --show-current Git status: !git status --short

Deployment Steps

Step 1: Verify Docker is Available

bash
docker --version && docker compose version

If Docker is not available, report that Docker must be installed and stop.

Step 2: Stop Any Existing Preview

bash
docker compose -f docker-compose.yml down --remove-orphans 2>/dev/null || true

Step 3: Build Docker Images

Build the application image using the multi-stage Dockerfile:

bash
docker compose -f docker-compose.yml build --no-cache

If the build fails, report the full error output. Common issues: missing files in build context (check .dockerignore), npm install failures, TypeScript compilation errors.

Step 4: Start Services

bash
docker compose -f docker-compose.yml up -d

Wait for services to be healthy:

bash
echo "Waiting for services to start..."
sleep 5
docker compose -f docker-compose.yml ps

Step 5: Run Database Migrations

bash
docker compose -f docker-compose.yml exec -T app npx prisma migrate deploy

If migrations fail, report the error. Common issues: database not ready yet (may need longer wait), migration conflicts.

Step 6: Health Check

Verify the application is responding:

bash
curl -sf http://localhost:3000/api/health || echo "HEALTH CHECK FAILED"

If the health check fails, inspect the logs:

bash
docker compose -f docker-compose.yml logs --tail=50 app

Step 7: Report

## Preview Deployment Results

**Branch:** [branch name]
**Status:** RUNNING / FAILED at [step]

### Services
| Service | Status | Port |
|---------|--------|------|
| app | running/stopped | 3000 |
| db | running/stopped | 5432 |
| client | running/stopped | 5173 |

### Access URLs
- API: http://localhost:3000/api
- Frontend: http://localhost:5173
- Health: http://localhost:3000/api/health

### Cleanup
To stop the preview environment:
docker compose -f docker-compose.yml down

Frequently asked questions

What does the Deploy Preview AI skill do?

Build Docker images and launch a local preview environment with docker-compose. Use to test the full stack locally before merging.

Why use Deploy Preview on TypingMind?

Because you install it once and use it with any model. Deploy Preview is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Deploy Preview in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xvirobotics/metaskill/tree/main/examples/fullstack-web/.claude/skills/deploy-preview. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Deploy Preview?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Deploy Preview?

As many as you like. As long as a model supports skills, you can use Deploy Preview with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Deploy Preview AI skill free?

Yes. It is published on GitHub by xvirobotics under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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